list_aws_organizations_settings

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Even though annotations already mark this as a safe read operation, the description adds substantial behavior: settings are shared at customer level and identical across AWS organizations, only purchaseAccountId and commitment types vary, and pagination requires passing back pageToken until it disappears. This goes well beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description contains valuable details but opens with a promotional sentence that does not describe the tool's operational behavior. The rest is logically organized and informative, but the opening wastes space and slightly dilutes clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema, the description does a good job explaining the return shape, cross-organization data behavior, and pagination protocol. It is incomplete only in that a few parameters and potential edge cases receive no attention, but the core calling context is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25%, and the description only elaborates on pageToken pagination behavior. maxResults, X-Tenant-Id, and customerContext are left unexplained in the description, so the description does not sufficiently compensate for the schema's low coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool returns one item per onboarded AWS organization, including purchasing account and commitment settings. The opening sentence about evaluating and automating purchases is promotional and slightly vague, but the resource and verb are still identifiable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides useful context about when this data matters and how settings are scoped, but it never explicitly contrasts this tool with siblings like list_aws_organizations or list_aws_recommendations. Usage is implied rather than directly stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.